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An open API service providing mapping between scientific papers and software projects that are mentioned in them.

Projects: cran: scCATCH

https://packages.ecosyste.ms/registries/cran.r-project.org/packages/scCATCH

Single Cell Cluster-Based Annotation Toolkit for Cellular Heterogeneity
5 versions
Latest release: over 2 years ago
455 downloads last month

Enhanced Analysis
Educational Contributors: [email protected] [email protected]
Repository Activity:
Repository Owner: Dr. FAN, Xiaohui (user)
single-cell omics; spatial transcriptomics; TCM network biology Academic
README Analysis:
Science Score: 100/100
Starting Score: 100 points
Bonuses:
  • +8 Academic maintainer emails
    1 maintainers with academic email addresses
  • +40 Educational commit emails
    2 contributors with educational email addresses
  • +20 Academic repository owner
    Repository owned by academic institution
  • +10 Educational website
    Repository owner has educational domain website
  • +4 Science terms in README
    2 scientific terms found in README
  • +20 DOI references
    2 DOI references found in README
  • +12 Academic links
    2 academic links found in README
Penalties:
  • -15 No science keywords
    No scientific terms found in keywords/classifiers
  • -10 No science terms in description
    No scientific terms found in description
Very Likely Science (100)

Papers Mentioning scCATCH 4

10.3390/biomedicines9040368
Single-Cell RNA Sequencing in Parkinson’s Disease
Cited by: 13
Author(s): Shi-Xun Ma, Su Bin Lim
Software Mentions: 9
Published: over 4 years ago
10.1186/s13046-021-01955-1
What are the applications of single-cell RNA sequencing in cancer research: a systematic review
Cited by: 28
Author(s): Lvyuan Li, Fang Xiong, Yumin Wang, Shanshan Zhang, Zhaojian Gong, Xiayu Li, Yi He, Lei Shi, Fuyan Wang, Qianjin Liao, Bo Xiang, Ming Zhou, Xiaoling Li, Yong Li, Guiyuan Li, Zhaoyang Zeng, Wei Xiong, Can Guo
Software Mentions: 9
Published: about 4 years ago
10.1038/s42003-021-02146-6
NEBULA is a fast negative binomial mixed model for differential or co-expression analysis of large-scale multi-subject single-cell data
Cited by: 38
Author(s): Liyun He, José Dávila-Velderrain, Tomokazu Sumida, David A. Hafler, M Kellis, Alexander M. Kulminski
Software Mentions: 8
Published: about 4 years ago
10.1007/s13238-020-00727-5
New avenues for systematically inferring cell-cell communication: through single-cell transcriptomics data
Cited by: 66
Author(s): Xin Shao, Xiaoyan Lu, Jie Liao, Huajun Chen, Xiaohui Fan
Software Mentions: 3
Published: about 5 years ago